Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

SparseSegmentSumGrad

Stay organized with collections Save and categorize content based on your preferences.
public final class SparseSegmentSumGrad

Computes gradients for SparseSegmentSum.

Returns tensor "output" with same shape as grad, except for dimension 0 whose value is output_dim0.

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T extends Number, U extends Number, V extends Number> SparseSegmentSumGrad<T>
create(Scope scope, Operand<T> grad, Operand<U> indices, Operand<V> segmentIds, Operand<Integer> outputDim0)
Factory method to create a class wrapping a new SparseSegmentSumGrad operation.
Output<T>
output()

Inherited Methods

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static SparseSegmentSumGrad<T> create (Scope scope, Operand<T> grad, Operand<U> indices, Operand<V> segmentIds, Operand<Integer> outputDim0)

Factory method to create a class wrapping a new SparseSegmentSumGrad operation.

Parameters
scope current scope
grad gradient propagated to the SparseSegmentSum op.
indices indices passed to the corresponding SparseSegmentSum op.
segmentIds segment_ids passed to the corresponding SparseSegmentSum op.
outputDim0 dimension 0 of "data" passed to SparseSegmentSum op.
Returns
  • a new instance of SparseSegmentSumGrad

public Output<T> output ()